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Found 6 papers, 5 papers with code
Long-term Large-scale Mapping and Localization Using maplab
This paper discusses a large-scale and long-term mapping and localization scenario using the maplab open-source framework.
maplab: An Open Framework for Research in Visual-inertial Mapping and Localization
On the other hand, maplab provides the research community with a collection of multisession mapping tools that include map merging, visual-inertial batch optimization, and loop closure.
Robotics
Voxblox: Incremental 3D Euclidean Signed Distance Fields for On-Board MAV Planning
We show that we can build TSDFs faster than Octomaps, and that it is more accurate to build ESDFs out of TSDFs than occupancy maps.
Robotics
VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite
Robust and accurate pose estimation is crucial for many applications in mobile robotics.
Robotics
3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs
Furthermore, 3D feature-based registration methods have never quite reached the robustness of 2D methods in visual SLAM.
Topomap: Topological Mapping and Navigation Based on Visual SLAM Maps
Then, we create a set of convex free-space clusters, which are the vertices of the topological map.
Robotics
